China’s university system is undergoing a structural transformation that is reshaping the lives of hundreds of thousands of students. According to Rest of World, Chinese universities have eliminated 12,200 degree programs, the majority in foreign languages, literature, history, and social sciences, as part of a government-directed effort to reallocate enrollment capacity toward artificial intelligence, computer science, and engineering. The cuts are not happening gradually; students who enrolled in programs that have since been discontinued are being transferred to adjacent majors, often without their consent, or left without a clear path to graduation.
The scale of the restructuring reflects Beijing’s conviction that China’s competitive position in AI depends on producing a dramatically larger supply of technical graduates. The 200,000 AI-related vacancies posted by Chinese companies in a recent national hiring campaign, combined with a 28.4% year-on-year rise in demand for AI engineers recorded by Zhaopin, have created a political imperative to align university output with labor market demand. From the government’s perspective, a student studying French literature is consuming educational resources that could be producing an AI engineer. The elimination of 12,200 programs is the policy response to that calculation.
(Related: China Mobilizes Eight Ministries to Find Jobs for 12.7 Million Graduates)
The Human Cost of the Restructuring
Rest of World reports how the experience of students caught mid-degree in eliminated programs illustrates the human cost of the restructuring. Some have been transferred into AI or computer science programs without the prerequisite mathematics background, leaving them expected to complete technical degrees for which they were never prepared. Others have been told that their original degree will still be awarded, but that the program will not accept new students, a compromise that preserves their credentials but leaves them in a department that is being wound down, with shrinking faculty and resources.
The disruption is particularly acute for students who chose their programs based on genuine academic interest or career plans that did not involve technology. A student who enrolled in a German language program intending to work in international trade or diplomacy now faces a choice between accepting a transfer into a field they did not choose or finding a way to complete their original degree at a university that still offers it, which may require transferring to a different institution entirely.
Professor Shen Yang of Tsinghua University offered a framing that captures the ideological dimension of the shift: “I see the English major as possibly the most successful major, as it is the programming language of AI.” The comment, which circulated widely on Chinese social media, reflects a view that language skills are instrumentally valuable for AI development (English-language technical literature, international collaboration, prompt engineering) but that the traditional humanities degree, as a standalone credential, has limited economic value in an AI-driven economy.
(Related: Can China’s National Action Plan Tackle Youth Employment Amid AI Transformation?)
The Global Context: How China Compares
The contrast with the United States is instructive. According to the same Rest of World analysis, 304 US institutions now offer AI-related degrees, and AI master’s programs in the US nearly doubled between 2022 and 2026. But the US expansion has happened through addition, new programs layered on top of existing ones, rather than through the elimination of humanities and social science offerings. American universities have not scrapped French literature programs to make room for machine learning; they have built machine learning programs alongside them.
China’s approach is more aggressive and more disruptive, but it also reflects a different set of constraints. Chinese universities operate under direct government oversight in ways that US institutions do not, and the government’s ability to mandate curriculum changes across hundreds of institutions simultaneously is a capability without an equivalent in the US system. Whether that top-down coordination produces better outcomes, more AI engineers and faster, than the US model of organic program growth is a question that will be answered over the next decade as the graduates of both systems enter the workforce.
What Gets Lost When Humanities Disappear
The elimination of humanities programs raises questions that go beyond individual students’ career prospects. Language departments, history programs, and social science faculties produce the researchers, translators, diplomats, and analysts who help China understand and engage with the rest of the world. As China’s AI companies expand internationally, Alibaba Cloud is now operating in more than 30 countries, Zhipu AI is launching infrastructure in Singapore, the UAE, and Saudi Arabia. The demand for people who can navigate foreign cultures, languages, and regulatory environments is growing, not shrinking.
There is also a question about the kind of AI that gets built when the people building it have no training in ethics, history, or social science. The governance failures that have characterized AI deployment globally, such as algorithmic bias, privacy violations, labor displacement, are not primarily technical problems. They are problems of values, judgment, and social understanding. A university system that produces only engineers and no humanists is optimizing for one dimension of AI capability while neglecting others that may prove equally important.